Data Engineering Intern (AI & Automation) at Rocket Lawyer

<div class="content-intro"><div><strong>About Rocket Lawyer</strong></div> <div>&nbsp;</div> <div>We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.</div> <div>&nbsp;</div> <div>We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide. We are expanding our team to take on this challenge!</div></div><p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>About your role</strong></span></p> <p><span style="font-size: 12pt;">We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.</span></p> <p><span style="font-size: 12pt;">Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.</span></p> <h3><span style="font-size: 12pt;"><strong>A Day in the Life</strong></span></h3> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Build &amp; Orchestrate:</strong> Design, develop, and maintain ETL pipelines to ingest data into our <strong>Snowflake</strong> warehouse using <strong>Python, SQL, and Airflow.</strong></span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>AI-Driven Automation:</strong> Implement AI-powered solutions to streamline engineering tasks, including:</span></li> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Automating code generation and documentation.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Building AI-driven data quality checks and anomaly detection.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Developing "self-healing" pipelines that can identify and alert on ingestion errors.</span></li> </ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Insight Generation:</strong> Use <strong>Jupyter Notebooks</strong> and <strong>Streamlit</strong> to analyze data and build internal tools that help our product team make data-driven decisions.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Visualization:</strong> Create high-impact dashboards in <strong>Tableau</strong> that translate complex data into a clear narrative for stakeholders.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Agile Collaboration:</strong> Participate in daily Scrum huddles, manage tasks via <strong>Jira</strong>, and work closely with product owners and QA to promote code to production.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Cloud Infrastructure:</strong> Interact with cloud services via <strong>CLI</strong> and manage containerized environments using <strong>Docker</strong> and <strong>Kubernetes.</strong></span></li> </ul> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>What you’ll need</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Academic Status:</strong> Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Programming Mastery:</strong> Expertise in&nbsp;<strong>Python</strong> and <strong>SQL</strong></span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Infrastructure Mindset:</strong> A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>DevOps Curiosity:</strong> Familiarity with <strong>CLI, Docker, and Kubernetes</strong> for managing cloud-based environments.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Analytical Toolkit:</strong> Experience with <strong>Jupyter Notebooks</strong>, <strong>Tableau</strong>, or <strong>Streamlit</strong>.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Problem Solver:</strong> A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.</span></li> </ul> <h3><span style="font-size: 12pt;">The Summer "Win"</span></h3> <p><span style="font-size: 12pt;">By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.</span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>Interview Process</strong></span></p> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Recruiter Phone Screen</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Technical Assessment&nbsp;</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Hiring Manager Interview</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Team Interview</span></li> </ul> <div class="postings-description section mt3"> <div class="rich-text "> <div class="editor-ctn"> <div class="rich-text-editor ql-container"> <div id="ql-editor-5" class="ql-editor"> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><em>Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.</em></span></div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">&nbsp;</span></div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><em>All your information will be kept confidential according to EEO guidelines. </em></span></div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><em>You may request reasonable accommodations by sending an email to&nbsp;</em><em><a href="mailto:[email protected]">[email protected]</a></em><em>.</em></span></div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">&nbsp;</span></div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>Location:</strong> Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship.<br><strong>Duration:</strong> June 8, 2026 - August 14, 2026, working 40 hours per week</span></div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">&nbsp;</span></div> <div> <div class="p-rich_text_section"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>Compensation per hour&nbsp;by location:</strong></span></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">San Francisco Bay Area, CA: $50.00</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">California (outside of San Francisco Bay Area): $46.25</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Colorado: $42.50</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Utah, Arizona, and North Carolina: $40.00</span></li> </ul> </div> </div> </div> </div> </div> </div> <div class="postings-description section" data-qa="custom-application-questions">&nbsp;</div><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process. In addition to base salary, this role may include variable compensation and be eligible for an equity grant, depending on the position and level.</p></div><div class="title">Base salary range:</div><div class="pay-range"><span>$40</span><span class="divider">&mdash;</span><span>$50 USD</span></div></div></div><div class="content-conclusion"><p>By applying for this position, your data will be processed as per Rocket Lawyer&nbsp;<a class="c-link c-link--focus-visible" href="https://www.rocketlawyer.com/gb/en/privacy" target="_blank" data-stringify-link="https://www.rocketlawyer.com/gb/en/privacy" data-sk="tooltip_parent">Privacy Policy</a>.&nbsp;</p></div>